Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis

Abstract Background Since economic inequality is often accompanied by health inequalities, health care inequalities are increasingly becoming a hot issue on a global scale. As a developing country, China is still facing the same problems as other countries in the world. Especially in underdeveloped...

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Main Authors: Wei Xian, Xueying Xu, Junling Li, Jinbin Sun, Hezi Fu, Shaoning Wu, Hongbo Liu
Format: Article
Language:English
Published: BMC 2019-10-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-019-7761-6
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spelling doaj-214137c3dc83496c9bf92899f2750bb72020-11-25T03:56:18ZengBMCBMC Public Health1471-24582019-10-011911910.1186/s12889-019-7761-6Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysisWei Xian0Xueying Xu1Junling Li2Jinbin Sun3Hezi Fu4Shaoning Wu5Hongbo Liu6School of Public Health, China Medical UniversitySchool of Public Health, China Medical UniversitySchool of Public Health, China Medical UniversitySchool of Public Health, China Medical UniversitySimon Fraser UniversitySchool of Public Health, China Medical UniversitySchool of Public Health, China Medical UniversityAbstract Background Since economic inequality is often accompanied by health inequalities, health care inequalities are increasingly becoming a hot issue on a global scale. As a developing country, China is still facing the same problems as other countries in the world. Especially in underdeveloped regions, owing to the relatively backward economy, health care inequality may be more serious. The objective of this study was to explore health care inequality in a socioeconomically underdeveloped city, thus providing a certain theoretical basis for further development and reform of the medical insurance schemes. Methods We mainly extracted relevant insurance information of 628,952 insured enrollees, as well as consumption of outpatient visit and hospitalization. The propensity score matching had been used to estimate different urban medical insurance schemes effect on healthcare utilization, the choice of hospital types and healthcare cost. Results Insured enrollees spent most hospitalization expenses in tertiary-level hospitals, which had lowest hospitalization compensation ratios. Healthcare utilization and cost vary significantly by different insurance schemes. Urban employees had significantly higher outpatient visit rates in all hospital types than urban residents. Urban employees preferred to receive hospitalization treatment in tertiary-level hospitals, while those who receive hospitalization treatment in first-level hospitals are more likely to be enrolled in Urban Residents Basic Medical Insurance. Hospitalization expenses and hospitalization compensation ratios of urban employees were also significantly higher than urban residents in all hospital types. Conclusions Health care inequality is mainly reflected in the imbalance between hospitalization expenses and hospitalization compensation ratios, as well as inequalities under different medical insurance schemes in healthcare utilization, the choice of hospital types and healthcare cost in socioeconomically underdeveloped regions of China. We should conduct a targeted medical insurance reform for the socioeconomically underdeveloped regions, rather than applying templates of ordinary regions. Further efforts are needed in the future to provide equal health care for every patient.http://link.springer.com/article/10.1186/s12889-019-7761-6Health care inequalityHealthcare utilizationHealthcare costPropensity scorePropensity score matching
collection DOAJ
language English
format Article
sources DOAJ
author Wei Xian
Xueying Xu
Junling Li
Jinbin Sun
Hezi Fu
Shaoning Wu
Hongbo Liu
spellingShingle Wei Xian
Xueying Xu
Junling Li
Jinbin Sun
Hezi Fu
Shaoning Wu
Hongbo Liu
Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis
BMC Public Health
Health care inequality
Healthcare utilization
Healthcare cost
Propensity score
Propensity score matching
author_facet Wei Xian
Xueying Xu
Junling Li
Jinbin Sun
Hezi Fu
Shaoning Wu
Hongbo Liu
author_sort Wei Xian
title Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis
title_short Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis
title_full Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis
title_fullStr Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis
title_full_unstemmed Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis
title_sort health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of china: a propensity score matching analysis
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2019-10-01
description Abstract Background Since economic inequality is often accompanied by health inequalities, health care inequalities are increasingly becoming a hot issue on a global scale. As a developing country, China is still facing the same problems as other countries in the world. Especially in underdeveloped regions, owing to the relatively backward economy, health care inequality may be more serious. The objective of this study was to explore health care inequality in a socioeconomically underdeveloped city, thus providing a certain theoretical basis for further development and reform of the medical insurance schemes. Methods We mainly extracted relevant insurance information of 628,952 insured enrollees, as well as consumption of outpatient visit and hospitalization. The propensity score matching had been used to estimate different urban medical insurance schemes effect on healthcare utilization, the choice of hospital types and healthcare cost. Results Insured enrollees spent most hospitalization expenses in tertiary-level hospitals, which had lowest hospitalization compensation ratios. Healthcare utilization and cost vary significantly by different insurance schemes. Urban employees had significantly higher outpatient visit rates in all hospital types than urban residents. Urban employees preferred to receive hospitalization treatment in tertiary-level hospitals, while those who receive hospitalization treatment in first-level hospitals are more likely to be enrolled in Urban Residents Basic Medical Insurance. Hospitalization expenses and hospitalization compensation ratios of urban employees were also significantly higher than urban residents in all hospital types. Conclusions Health care inequality is mainly reflected in the imbalance between hospitalization expenses and hospitalization compensation ratios, as well as inequalities under different medical insurance schemes in healthcare utilization, the choice of hospital types and healthcare cost in socioeconomically underdeveloped regions of China. We should conduct a targeted medical insurance reform for the socioeconomically underdeveloped regions, rather than applying templates of ordinary regions. Further efforts are needed in the future to provide equal health care for every patient.
topic Health care inequality
Healthcare utilization
Healthcare cost
Propensity score
Propensity score matching
url http://link.springer.com/article/10.1186/s12889-019-7761-6
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